eotransform-xarray
Implements transformations on xarray data structures, usually representing raster data which can then be streamed using eotransform. Project badge
Science Score: 85.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
✓Institutional organization owner
Organization tuw-geo has institutional domain (geo.tuwien.ac.at) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.0%) to scientific vocabulary
Repository
Implements transformations on xarray data structures, usually representing raster data which can then be streamed using eotransform. Project badge
Basic Info
- Host: GitHub
- Owner: TUW-GEO
- Language: Python
- Default Branch: main
- Size: 248 KB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 23
Metadata Files
README.md
eotransform-xarray
What can I use eotransform-xarray for?
The eotransform-xarray package provides common transformations on raster data represented as xarray data structures, following the Transformer protocol of eotransform.
This makes them easy to mix and match, and you can quickly chain processing pipelines, using other eotransform protocols.
Additionally, processing pipelines constructed from these Transformers, can be automatically applied to the streamed_process function from eotransform, to benefit from I/O hiding.
Getting Started
Installation
bash
pip install eotransform-xarray
Example: streamed processing pipeline
In the following example swath data is resampled, masked and written out as a GeoTIFF stack.
py
resample = ResampleWithGauss(swath_geometry, raster_geometry, sigma=2e5, neighbours=4, lookup_radius=1e6)
mask = MaskWhere(lambda x: x > 2, np.nan)
squeeze = Squeeze()
with ThreadPoolExecutor(max_workers=3) as ex:
pipeline = Compose([resample, mask, squeeze])
streamed_process(input_src, pipeline, SinkToGeoTiff(dst_dir, lambda i, da: f"out_{i}.tif"), ex)
snippet source | anchor
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Note, that this example uses eotransform's streamed_process function to hide the I/O operations, using the compute resources more effectively.
Support & Documentation
Dependencies:
eotransform-xarray requires Python 3.8 and has these dependencies:
cfg
eotransform>=1.8
xarray
rioxarray
numpy
affine
more_itertools
snippet source | anchor
<!-- endSnippet -->
Citation
If you find this repository useful, please consider giving it a star or a citation:
bibtex
@software{eotransform_xarray_2023_8002854,
author = {Raml, Bernhard},
title = {eotransform-xarray},
month = jun,
year = 2023,
publisher = {Zenodo},
version = {2.4.1},
doi = {10.5281/zenodo.8002854},
url = {https://doi.org/10.5281/zenodo.8002854}
}
Owner
- Name: TU Wien - Department of Geodesy and Geoinformation
- Login: TUW-GEO
- Kind: organization
- Location: Vienna, Austria
- Website: http://geo.tuwien.ac.at
- Repositories: 53
- Profile: https://github.com/TUW-GEO
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: eotransform-xarray
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Bernhard
family-names: Raml
email: bernhard.raml@geo.tuwien.ac.at
affiliation: TU Wien
orcid: 'https://orcid.org/0000-0002-5357-0344'
repository-code: 'https://github.com/TUW-GEO/eotransform-xarray'
url: 'https://eotransform-xarray.readthedocs.io/'
abstract: >-
The eotransform-xarray package provides common
transformations on raster data represented as xarray) data
structures, following the Transformer protocol of
eotransform.
keywords:
- data pipeline
- streaming
- raster data
- earth observation
license: MIT
commit: 1e045bf
version: 2.4.1
date-released: '2023-06-04'
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Bernhard Raml | b****l@g****t | 142 |
| GitHub Action | a****n@g****m | 28 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: about 1 hour
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 1.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
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- Pull requests: 0
- Average time to close issues: N/A
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- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
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Top Authors
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- SwamyDev (1)
Top Labels
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Packages
- Total packages: 1
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Total downloads:
- pypi 258 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 22
- Total maintainers: 1
pypi.org: eotransform-xarray
Implements transformations on xarray data structures, to be used with eotransform streamed_process.
- Homepage: https://github.com/TUW-GEO/eotransform-xarray
- Documentation: https://eotransform-xarray.readthedocs.io/
- License: MIT License
-
Latest release: 2.5.3
published over 2 years ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- py-cov-action/python-coverage-comment-action v3 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite